Abstract | ||
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To capture 3D dynamic scenes, a suitable 3D data structure is needed that can represent the dynamic scene content. In this contribution we analyse and evaluate different data structures for capturing time-varying depth and color data of a dynamic scene obtained with Time-of-Flight and color cameras. The comparison of depth-panoramas, layered depth images and volumetric structures shows that a volumetric octree is best suited to fuse time-varying 3D scene data. We exploit the octree data fusion capabilities for different application scenarios, like 3D environment building, volumetric object reconstruction, and geometric interaction. |
Year | DOI | Venue |
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2009 | 10.1007/978-3-642-03778-8_4 | Dyn3D |
Keywords | Field | DocType |
scene data,dynamic scene content,color data,dynamic scene,time-of-flight camera,capturing dynamic scenes,octree data fusion capability,volumetric octree,volumetric object reconstruction,volumetric structure,data structure,different data structure,time of flight,data fusion | Computer vision,Data structure,Collision detection,Computer graphics (images),Computer science,Sensor fusion,Exploit,Time-of-flight camera,Artificial intelligence,Point cloud,Fuse (electrical),Octree | Conference |
Volume | ISSN | Citations |
5742 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 15 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ingo Schiller | 1 | 119 | 9.74 |
Reinhard Koch | 2 | 2038 | 170.17 |